Fei Cai - RankMe

134 papers A* 13A 10B 4C 1Journal 87Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual-space feature representation learning network for multimodal recommender systems. Adv. Eng. Informatics Yuzhuo Dang, Wanyu Chen, Zhiqiang Pan, Xin Zhang, Yuxiao Duan, Fei Cai, Honghui Chen
2026	J	`jnl`	Multimodal recommender systems: A survey of representation, modeling, and optimization. Inf. Fusion Lin Pan, Zhiqiang Pan, Fei Cai, Honghui Chen
2025	J	`jnl`	A Feature Fusion Network With Multiscale Adaptively Attentional for Object Detection in Complex Traffic Scenes. IEEE Trans. Intell. Veh. Fei Cai, Zhong Qu, Xuehui Yin
2025	J	`jnl`	A Structure-Feature Dynamic Decoupling GNN architecture for link prediction. Knowl. Based Syst. Guowang Li, Zhiqiang Pan, Fei Cai, Weijie Chen, Langgao Cheng
2025	J	`jnl`	A method of object detection with attention mechanism and C2f_DCNv2 for complex traffic scenes. Expert Syst. Appl. Fei Cai, Zhong Qu, Shufang Xia, Shiyan Wang
2025	J	`jnl`	Applicants' Fairness Perception of Human and AI Collaboration in Resume Screening. Int. J. Hum. Comput. Interact. Bin Ling, Bowen Dong, Fei Cai
2025	—	`conf`	Behavior Conditional Diffusion Model for Multi-Modal Recommendation. MMAsia Mengfan Kong, Chonghao Chen, Zhiqiang Pan, Fei Cai, Aimin Luo
2025	J	`jnl`	Cascading multi-scale graph pre-training and prompt tuning for learning-based community search. Inf. Process. Manag. Chonghao Chen, Jianming Zheng, Wanyu Chen, Xin Zhang, Yupu Guo, Aimin Luo, Fei Cai
2025	J	`jnl`	Contrastive learning of cross-modal information enhancement for multimodal fake news detection. Complex Intell. Syst. Weijie Chen, Fei Cai, Yupu Guo, Zhiqiang Pan, Wanyu Chen, Yijia Zhang
2025	J	`jnl`	DMR: disentangled and denoised learning for multi-behavior recommendation. Complex Intell. Syst. Yijia Zhang, Wanyu Chen, Fei Cai, Zhenkun Shi, Feng Qi
2025	J	`jnl`	Detection of Unresolved Rayleigh Targets in Monopulse Radar With Two Angular Dimensions. IEEE Trans. Aerosp. Electron. Syst. Fei Cai, Hongqi Fan
2025	J	`jnl`	Discrepancy Learning Guided Hierarchical Fusion Network for Multi-modal Recommendation. Knowl. Based Syst. Yuzhuo Dang, Zhiqiang Pan, Xin Zhang, Wanyu Chen, Fei Cai, Honghui Chen
2025	J	`jnl`	Distance-Aware Learning for Inductive Link Prediction on Temporal Networks. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Pan, Fei Cai, Xinwang Liu, Honghui Chen
2025	—	`conf`	Event Causality Identification via Prompt Learning with Knowledge and Memory. IDEAL (1) Fei Cai, Wanyu Chen, Shen Wang, Guowang Li, Weijie Chen, Junxian Liu
2025	—	`conf`	HELM: Hybrid Spatial Index of Moving Objects at Large Scales Tuned with Multi-Agent Reinforcement Learning. APWeb-WAIM (2) Na Guo, Wenli Sun, Fei Cai, Xing Yiming, Xiufeng Xia
2025	J	`jnl`	Information bottleneck-driven prompt on graphs for unifying downstream few-shot classification tasks. Inf. Process. Manag. Xin Zhang, Wanyu Chen, Fei Cai, Jianming Zheng, Zhiqiang Pan, Yupu Guo, Honghui Chen
2025	J	`jnl`	Light Dynamic Graph Learning on Temporal Networks. ACM Trans. Inf. Syst. Zhiqiang Pan, Chen Gao, Fei Cai, Honghui Chen, Yong Li
2025	J	`jnl`	MLLMRec: Exploring the Potential of Multimodal Large Language Models in Recommender Systems. CoRR Yuzhuo Dang, Xin Zhang, Zhiqiang Pan, Yuxiao Duan, Wanyu Chen, Fei Cai, Honghui Chen
2025	A*	`conf`	On the Cross-Graph Transferability of Dynamic Link Prediction. WWW Zhiqiang Pan, Chen Gao, Fei Cai, Wanyu Chen, Xin Zhang, Honghui Chen, Yong Li
2025	J	`jnl`	PEARL: A dual-layer graph learning for multimodal recommendation. Inf. Fusion Yuzhuo Dang, Wanyu Chen, Zhiqiang Pan, Yuxiao Duan, Fei Cai, Honghui Chen
2025	A	`conf`	Parse-LLM: A Prior-Free LLM Parser for Unknown System Logs. CIKM Chengyu Song, Lin Yang, Jianming Zheng, Jinzhi Liao, Feng Yang, Linru Ma, Fei Cai
2025	J	`jnl`	Research on scenario extrapolation and emergency decision-making for fire and explosion accidents at university laboratories based on BN-CBR. Reliab. Eng. Syst. Saf. Jie Liu, Fei Cai, Wanqing Wang, Haoyuan Zhu, Liangyun Teng, Xuehua Luo, Yi Chen, Chenwei Hao
2025	A	`conf`	Tide: A Time-Wise Causal Debiasing Framework for Generative Dynamic Link Prediction. CIKM Xin Zhang, Jianming Zheng, Fei Cai, Zhiqiang Pan, Wanyu Chen, Chonghao Chen, Honghui Chen
2025	J	`jnl`	Time-Aware Graph Learning for Link Prediction on Temporal Networks. IEEE Trans. Neural Networks Learn. Syst. Zhiqiang Pan, Honghui Chen, Wanyu Chen, Fei Cai, Xinwang Liu
2025	A*	`conf`	Triangle Matters! TopDyG: Topology-aware Transformer for Link Prediction on Dynamic Graphs. WWW Xin Zhang, Fei Cai, Jianming Zheng, Zhiqiang Pan, Wanyu Chen, Honghui Chen, Chonghao Chen
2024	J	`jnl`	A counterfactual explanation method based on modified group influence function for recommendation. Complex Intell. Syst. Yupu Guo, Fei Cai, Zhiqiang Pan, Taihua Shao, Honghui Chen, Xin Zhang
2024	J	`jnl`	BP-MoE: Behavior Pattern-aware Mixture-of-Experts for Temporal Graph Representation Learning. Knowl. Based Syst. Chonghao Chen, Fei Cai, Wanyu Chen, Jianming Zheng, Xin Zhang, Aimin Luo
2024	J	`jnl`	CoFF-CHP: coarse-to-fine filters with concept heuristic prompt for few-shot relation classification. Appl. Intell. Peihong Li, Shengze Hu, Jianming Zheng, Taihua Shao, Mengru Wang, Fei Cai
2024	A	`conf`	Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. WSDM Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2024	J	`jnl`	Disentangled variational auto-encoder enhanced by counterfactual data for debiasing recommendation. Complex Intell. Syst. Yupu Guo, Fei Cai, Jianming Zheng, Xin Zhang, Honghui Chen
2024	J	`jnl`	Distance Enhanced Hypergraph Learning for Dynamic Node Classification. Neural Process. Lett. Dengfeng Liu, Zhiqiang Pan, Shengze Hu, Fei Cai
2024	J	`jnl`	Diversifying Sequential Recommendation with Retrospective and Prospective Transformers. ACM Trans. Inf. Syst. Chaoyu Shi, Pengjie Ren, Dongjie Fu, Xin Xin, Shansong Yang, Fei Cai, Zhaochun Ren, Zhumin Chen
2024	J	`jnl`	Inductive link prediction on temporal networks through causal inference. Inf. Sci. Zhiqiang Pan, Fei Cai, Wanyu Chen, Taihua Shao, Yupu Guo, Honghui Chen
2024	J	`jnl`	Input-oriented demonstration learning for hybrid evidence fact verification. Expert Syst. Appl. Chonghao Chen, Wanyu Chen, Jianming Zheng, Aimin Luo, Fei Cai, Yijia Zhang
2024	—	`conf`	Multilingual Event Causality Identification via Meta-learning with Knowledge. GAIIS Shen Wang, Fei Cai, Mengxi Zhang
2024	—	`conf`	Multimodal Feature Analysis for Surgery Duration Predication. ICBBT Xiuwen Li, Yibing Zhan, Jun Ni, Fei Cai, Hua Jin, Xu Lin, Yufeng Zhang, Dapeng Tao
2024	J	`jnl`	Multistructure Contrastive Learning for Pretraining Event Representation. IEEE Trans. Neural Networks Learn. Syst. Jianming Zheng, Fei Cai, Jun Liu, Yanxiang Ling, Honghui Chen
2024	J	`jnl`	Rapid prediction of key residues for foldability by machine learning model enables the design of highly functional libraries with hyperstable constrained peptide scaffolds. PLoS Comput. Biol. Fei Cai, Yuehua Wei, Daniel Kirchhofer, Andrew Chang, Yingnan Zhang
2024	J	`jnl`	Unresolved Rayleigh Targets Detection for Monopulse Radar With Knowledge of One Target's DOA. IEEE Trans. Aerosp. Electron. Syst. Fei Cai
2024	—	`conf`	WALK: A Workload-Aware Learned Kd-Tree. ADMA (1) Na Guo, Fei Cai, Wenli Sun, Xiufeng Xia
2023	—	`conf`	A Hypergraph Framework Based on Neighborhood and Category Association Relationships for Session-Based Recommendation. DASC/PiCom/CBDCom/CyberSciTech Dengfeng Liu, Yitong Wang, Fei Cai
2023	—	`conf`	A Review: Data and Semantic Augmentation for Relation Classification in Low Resource. ACAI Peihong Li, Fei Cai, Siyuan Wang, Shixian Liu, Dengfeng Liu
2023	J	`jnl`	AugPrompt: Knowledgeable augmented-trigger prompt for few-shot event classification. Inf. Process. Manag. Chengyu Song, Fei Cai, Jianming Zheng, Xiang Zhao, Taihua Shao
2023	—	`conf`	Constructing Personal Knowledge Graph from Conversation via Deep Reinforcement Learning. IFTC (1) Fei Cai, Xiao Guo
2023	J	`jnl`	Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. CoRR Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2023	J	`jnl`	Disentangled Variational Auto-encoder Enhanced by Counterfactual Data for Debiasing Recommendation. CoRR Yupu Guo, Fei Cai, Xin Zhang, Jianming Zheng, Honghui Chen
2023	J	`jnl`	Exploring Internal and External Interactions for Semi-Structured Multivariate Attributes in Job-Resume Matching. Int. J. Intell. Syst. Taihua Shao, Chengyu Song, Jianming Zheng, Fei Cai, Honghui Chen
2023	J	`jnl`	Generating Relevant and Informative Questions for Open-Domain Conversations. ACM Trans. Inf. Syst. Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen, Maarten de Rijke
2023	B	`conf`	Holistic ARDS Prognosis Evaluation Framework Utilizing Data Governance and Ensemble Feature Selection. SMC Xiaodong Han, Fei Cai, Guanghui Xiu, Dapeng Tao
2023	J	`jnl`	Joint Estimation of Unresolved Leader-Follower in the Presence of Dense False Signals Using Monopulse Radar. IEEE Trans. Aerosp. Electron. Syst. Qianlan Huang, Hongqi Fan, Fei Cai, Huaitie Xiao
2023	J	`jnl`	Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation. IEEE Trans. Neural Networks Learn. Syst. Yanxiang Ling, Fei Cai, Jun Liu, Honghui Chen, Maarten de Rijke
2023	J	`jnl`	MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection. CoRR Siyuan Wang, Jianming Zheng, Xuejun Hu, Fei Cai, Chengyu Song, Xueshan Luo
2023	J	`jnl`	MsPrompt: Multi-step prompt learning for debiasing few-shot event detection. Inf. Process. Manag. Siyuan Wang, Jianming Zheng, Fei Cai, Chengyu Song, Xueshan Luo
2023	A	`conf`	MultiPLe: Multilingual Prompt Learning for Relieving Semantic Confusions in Few-shot Event Detection. CIKM Siyuan Wang, Jianming Zheng, Wanyu Chen, Fei Cai, Xueshan Luo
2023	J	`jnl`	Pairwise contrastive learning for sentence semantic equivalence identification with limited supervision. Knowl. Based Syst. Taihua Shao, Fei Cai, Jianming Zheng, Mengru Wang, Honghui Chen
2023	J	`jnl`	Self-supervised graph learning with target-adaptive masking for session-based recommendation. Frontiers Inf. Technol. Electron. Eng. Yitong Wang, Fei Cai, Zhiqiang Pan, Chengyu Song
2023	J	`jnl`	Sequence-aware Knowledge Distillation for a Lightweight Event Representation. ACM Trans. Inf. Syst. Jianming Zheng, Fei Cai, Yanxiang Ling, Honghui Chen
2023	J	`jnl`	Sequential or jumping: context-adaptive response generation for open-domain dialogue systems. Appl. Intell. Yanxiang Ling, Zheng Liang, Tianqi Wang, Fei Cai, Honghui Chen
2023	J	`jnl`	TaxonPrompt: Taxonomy-aware curriculum prompt learning for few-shot event classification. Knowl. Based Syst. Chengyu Song, Fei Cai, Mengru Wang, Jianming Zheng, Taihua Shao
2022	J	`jnl`	A Contrastive learning-based Task Adaptation model for few-shot intent recognition. Inf. Process. Manag. Xin Zhang, Fei Cai, Xuejun Hu, Jianming Zheng, Honghui Chen
2022	—	`conf`	CBR and Focus Learning based Joint Fire Strike Plan Generation Method. ICCCV Xin Jin, Xinnian Wang, Fei Cai, Yupu Guo
2022	—	`conf`	Clothing Flexible Retrieval Based on Attention Mechanism. DSIT Xin Luo, Fei Cai, Li Wan, Youqun Shi
2022	—	`conf`	Co-Attentive Graph Learning for Session-based Recommendation. DSIT Fei Cai, Zhiqiang Pan
2022	J	`jnl`	Collaborative Graph Learning for Session-based Recommendation. ACM Trans. Inf. Syst. Zhiqiang Pan, Fei Cai, Wanyu Chen, Chonghao Chen, Honghui Chen
2022	B	`conf`	DRK: Discriminative Rule-based Knowledge for Relieving Prediction Confusions in Few-shot Relation Extraction. COLING Mengru Wang, Jianming Zheng, Fei Cai, Taihua Shao, Honghui Chen
2022	J	`jnl`	Exploring latent connections in graph neural networks for session-based recommendation. Inf. Retr. J. Fei Cai, Zhiqiang Pan, Chengyu Song, Xin Zhang
2022	J	`jnl`	Fully Discrete Interpolation Coefficients Mixed Finite Element Methods for Semi-Linear Parabolic Optimal Control Problem. IEEE Access Jing Wang, Zuliang Lu, Fei Cai, Yuming Feng
2022	J	`jnl`	Graph Co-Attentive Session-based Recommendation. ACM Trans. Inf. Syst. Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen
2022	J	`jnl`	Hard-style Selective Context Utilization for dialogue generation based on what user just said. Knowl. Based Syst. Yanxiang Ling, Zheng Liang, Tianqi Wang, Fei Cai, Honghui Chen
2022	J	`jnl`	Incorporating emotion for response generation in multi-turn dialogues. Appl. Intell. Yanying Mao, Fei Cai, Yupu Guo, Honghui Chen
2022	J	`jnl`	Monopulse radar track-before-detect using Bernoulli filter. IET Signal Process. Fei Cai
2022	J	`jnl`	Multi-interest Diversification for End-to-end Sequential Recommendation. ACM Trans. Inf. Syst. Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke
2022	A*	`conf`	PTAU: Prompt Tuning for Attributing Unanswerable Questions. SIGIR Jinzhi Liao, Xiang Zhao, Jianming Zheng, Xinyi Li, Fei Cai, Jiuyang Tang
2022	J	`jnl`	Self-supervised clarification question generation for ambiguous multi-turn conversation. Inf. Sci. Taihua Shao, Fei Cai, Wanyu Chen, Honghui Chen
2022	J	`jnl`	Session-based recommendation with an importance extraction module. Neural Comput. Appl. Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen
2022	J	`jnl`	THz Broadband Absorber Based on MoS2 with Split Rings and Archimedean Spiral Structures. Symmetry Fei Cai, Zhifei Kou, Ying Li
2021	J	`jnl`	An entity-graph based reasoning method for fact verification. Inf. Process. Manag. Chonghao Chen, Fei Cai, Xuejun Hu, Jianming Zheng, Yanxiang Ling, Honghui Chen
2021	—	`conf`	Analysis and Decision-Making of Regional Economic Vitality. ICISCAE (ACM) Yupu Guo, Fei Cai, Honghui Chen, Peng Sun, Jianming Zheng, Duolong Zhang
2021	J	`jnl`	Context-Controlled Topic-Aware Neural Response Generation for Open-Domain Dialog Systems. Inf. Process. Manag. Yanxiang Ling, Fei Cai, Xuejun Hu, Jun Liu, Wanyu Chen, Honghui Chen
2021	—	`conf`	Extended Object Tracking Using Random Matrix with Adaptive Gate. ICCAIS Qianlan Huang, Fei Cai, Dawei Lu
2021	J	`jnl`	HHGN: A Hierarchical Reasoning-based Heterogeneous Graph Neural Network for fact verification. Inf. Process. Manag. Chonghao Chen, Fei Cai, Xuejun Hu, Wanyu Chen, Honghui Chen
2021	A	`conf`	Metric Sentiment Learning for Label Representation. CIKM Chengyu Song, Fei Cai, Jianming Zheng, Wanyu Chen, Zhiqiang Pan
2021	A*	`conf`	Taxonomy-aware Learning for Few-Shot Event Detection. WWW Jianming Zheng, Fei Cai, Wanyu Chen, Wengqiang Lei, Honghui Chen
2020	A*	`conf`	An Intent-guided Collaborative Machine for Session-based Recommendation. SIGIR Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke
2020	J	`jnl`	An integrated retrieval framework for similar questions: Word-semantic embedded label clustering - LDA with question life cycle. Inf. Sci. Yue Liu, Aihua Tang, Zhibin Sun, Weize Tang, Fei Cai, Chengjin Wang
2020	B	`conf`	Heterogeneous Graph Neural Networks to Predict What Happen Next. COLING Jianming Zheng, Fei Cai, Yanxiang Ling, Honghui Chen
2020	J	`jnl`	Hierarchical neural query suggestion with an attention mechanism. Inf. Process. Manag. Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
2020	A	`conf`	Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CIKM Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke
2020	A*	`conf`	Incorporating Scenario Knowledge into A Unified Fine-tuning Architecture for Event Representation. SIGIR Jianming Zheng, Fei Cai, Honghui Chen
2020	A*	`conf`	Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems. WWW Yanxiang Ling, Fei Cai, Honghui Chen, Maarten de Rijke
2020	J	`jnl`	Personalized query suggestion diversification in information retrieval. Frontiers Comput. Sci. Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
2020	J	`jnl`	Pre-train, Interact, Fine-tune: a novel interaction representation for text classification. Inf. Process. Manag. Jianming Zheng, Fei Cai, Honghui Chen, Maarten de Rijke
2020	A*	`conf`	Rethinking Item Importance in Session-based Recommendation. SIGIR Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke
2020	J	`jnl`	Rethinking Item Importance in Session-based Recommendation. CoRR Zhiqiang Pan, Fei Cai, Yanxiang Ling, Maarten de Rijke
2020	A	`conf`	Star Graph Neural Networks for Session-based Recommendation. CIKM Zhiqiang Pan, Fei Cai, Wanyu Chen, Honghui Chen, Maarten de Rijke
2019	A	`conf`	A Dynamic Co-attention Network for Session-based Recommendation. CIKM Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
2019	J	`jnl`	Hierarchical Neural Representation for Document Classification. Cogn. Comput. Jianming Zheng, Fei Cai, Wanyu Chen, Chong Feng, Honghui Chen
2019	J	`jnl`	Improving End-to-End Sequential Recommendations with Intent-aware Diversification. CoRR Wanyu Chen, Pengjie Ren, Fei Cai, Maarten de Rijke
2019	J	`jnl`	Item life cycle based collaborative filtering. J. Intell. Fuzzy Syst. Yue Liu, Fei Cai, Pengfei Ren, Zhizhou Gu
2019	J	`jnl`	Joint Neural Collaborative Filtering for Recommender Systems. CoRR Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
2019	J	`jnl`	Joint Neural Collaborative Filtering for Recommender Systems. ACM Trans. Inf. Syst. Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
2019	A*	`conf`	Length-adaptive Neural Network for Answer Selection. SIGIR Taihua Shao, Fei Cai, Honghui Chen, Maarten de Rijke
2019	J	`jnl`	Local Core Members Aided Community Structure Detection. Mob. Networks Appl. Xiaoping Fan, Zhijie Chen, Fei Cai, Jinsong Wu, Shengzong Liu, Zhining Liao, Zhifang Liao
2019	J	`jnl`	Multi-feature based Question-Answerer Model Matching for predicting response time in CQA. Knowl. Based Syst. Yue Liu, Aihua Tang, Fei Cai, Pengfei Ren, Zhibin Sun
2019	J	`jnl`	Network Adjacency Matrix Blocked-compressive Sensing: A Novel Algorithm for Link Prediction. Ingénierie des Systèmes d Inf. Fei Cai, Xiaohui Mou, Xin Zhang, Jie Chen, Jin Li, Wenpeng Xu
2019	J	`jnl`	Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification. CoRR Jianming Zheng, Fei Cai, Honghui Chen, Maarten de Rijke
2019	—	`conf`	Urban Function Identification Based on POI and Taxi Trajectory Data. ICBDR Xiaohui Mou, Fei Cai, Xin Zhang, Jie Chen, Rongrong Zhu
2018	A*	`conf`	Attention-based Hierarchical Neural Query Suggestion. SIGIR Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
2018	J	`jnl`	Attention-based Hierarchical Neural Query Suggestion. CoRR Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
2018	A	`conf`	Attentive Encoder-based Extractive Text Summarization. CIKM Chong Feng, Fei Cai, Honghui Chen, Maarten de Rijke
2018	—	`conf`	TMP: Meta-path based Recommendation on Time-Weighted Heterogeneous Information Networks. CCIS Yanxiang Ling, Weiwei Zhao, Wenjing Yang, Fei Cai
2017	J	`jnl`	A Confidence-ellipse Based Approach for Area Measurement in Localization System. Ad Hoc Sens. Wirel. Networks Wanyu Chen, Honghui Chen, Tao Chen, Fei Cai
2017	J	`jnl`	Behavior-based personalization in web search. J. Assoc. Inf. Sci. Technol. Fei Cai, Shuaiqiang Wang, Maarten de Rijke
2017	—	`conf`	Collaborative Filtering Recommendation Considering Seed Life Cycle for BT Download Websites. ISICA (1) Yue Liu, Fei Cai, Qi Sun, Yiming Zhu
2017	J	`jnl`	Learning search popularity for personalized query completion in information retrieval. J. Intell. Fuzzy Syst. Fei Cai, Wanyu Chen, Xinliang Ou
2017	J	`jnl`	Local Core Members Aided Community Structure Detection. CoRR Xiaoping Fan, Zhijie Chen, Fei Cai, Jinsong Wu, Shengzong Liu, Zhining Liao, Zhifang Liao
2017	A*	`conf`	Personalized Query Suggestion Diversification. SIGIR Wanyu Chen, Fei Cai, Honghui Chen, Maarten de Rijke
2017	J	`jnl`	Term-level semantic similarity helps time-aware term popularity based query completion. J. Intell. Fuzzy Syst. Fei Cai, Honghui Chen
2016	J	`jnl`	A Probabilistic Model for Information Retrieval by Mining User Behaviors. Cogn. Comput. Fei Cai, Honghui Chen
2016	J	`jnl`	A Survey of Query Auto Completion in Information Retrieval. Found. Trends Inf. Retr. Fei Cai, Maarten de Rijke
2016	J	`jnl`	A greedy selection approach for query suggestion diversification in search systems. Sci. China Inf. Sci. Fei Cai, Honghui Chen, Zhen Shu
2016	J	`jnl`	Diversifying Query Auto-Completion. ACM Trans. Inf. Syst. Fei Cai, Ridho Reinanda, Maarten de Rijke
2016	J	`jnl`	Efficient Structured Learning for Personalized Diversification. IEEE Trans. Knowl. Data Eng. Shangsong Liang, Fei Cai, Zhaochun Ren, Maarten de Rijke
2016	J	`jnl`	Learning from homologous queries and semantically related terms for query auto completion. Inf. Process. Manag. Fei Cai, Maarten de Rijke
2016	J	`jnl`	Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion. IEEE Trans. Knowl. Data Eng. Fei Cai, Shangsong Liang, Maarten de Rijke
2016	A*	`conf`	Selectively Personalizing Query Auto-Completion. SIGIR Fei Cai, Maarten de Rijke
2015	J	`jnl`	Bernoulli filter for range and Doppler ambiguous radar. IET Signal Process. Fei Cai, Hongqi Fan, Zaiqi Lu, Qiang Fu
2014	A*	`conf`	Personalized document re-ranking based on Bayesian probabilistic matrix factorization. SIGIR Fei Cai, Shangsong Liang, Maarten de Rijke
2014	A	`conf`	Time-sensitive Personalized Query Auto-Completion. CIKM Fei Cai, Shangsong Liang, Maarten de Rijke
2014	C	`conf`	Track-before-detect filter for sensors with point spread function using thresholded measurements. FUSION Fei Cai, Hongqi Fan, Qiang Fu
2013	—	`conf`	A MapReduce scheme for image feature extraction and its application to man-made object detection. ICDIP Fei Cai, Honghui Chen
2013	—	`conf`	A New DHT Supporting Multi-attribute Queries for Grid Information Services. HPCC/EUC Yawei Zhao, Fei Cai, Junjie Xie, Lailong Luo, Xiaoqiang Teng, Honghui Chen, Weijie Kong
2005	J	`jnl`	An Alternative Strategy for Count and Storage of Kekulé and Longer Range Resonance Valence Bond Structures. J. Chem. Inf. Model. Fei Cai, Heqing Shao, Chungen Liu, Yuansheng Jiang
2004	B	`conf`	Parallel program performance evaluation and their behavior analysis on an OpenMP cluster. CCGRID Fei Cai, Shaogang Wu, Longbing Zhang, Zhiming Tang